Feature extraction method of ITD and adaptive generalized morphological filtering

HUANG Xin-qi; ZHANG Ya-fei; MAO Cun-li; HUANG Gang-jin; GUO Yue-jiang; YANG Hong-yan

doi:10.13873/j.1000-9787(2018)06-0036-04

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Feature extraction method of ITD and adaptive generalized morphological filtering

更新时间：2025-09-11

- Feature extraction method of ITD and adaptive generalized morphological filtering
- Issue 6, Pages: 36-39(2018)
- 作者机构：
  
  1. 昆明理工大学信息工程与自动化学院
  2. 云南师范大学能源与环境科学学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2018)06-0036-04
  CLC： TH133.33
- Published：2018
- 稿件说明：
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HUANG Xin-qi, ZHANG Ya-fei, MAO Cun-li, et al. Feature extraction method of ITD and adaptive generalized morphological filtering[J]. 2018, (6): 36-39.
DOI：

HUANG Xin-qi, ZHANG Ya-fei, MAO Cun-li, et al. Feature extraction method of ITD and adaptive generalized morphological filtering[J]. 2018, (6): 36-39. DOI： 10.13873/j.1000-9787(2018)06-0036-04.

摘要

针对滚动轴承早期微弱故障特征难以从强噪声背景中分离的问题

提出了一种本征时间尺度分解(ITD)和自适应广义形态滤波的特征提取方法。将故障信号进行ITD分解成若干固有旋转(PR)分量;利用峭度准则选取若干PR分量进行重构

对重构后的信号通过自适应广义形态滤波进行降噪处理;对降噪后的信号进行Hilbert包络谱分析。通过对滚动轴承内外圈进行实验分析

验证了方法的有效性。

Abstract

Aiming at the problem that it is difficult for the early weak feature of the bearing to separate from the strong noise background

a method of extracting the feature based on the intrinsic time-scale decomposition（ ITD）and adaptive generalized morphological filtering is proposed. ITD is decomposed into several proper rotation（ PR）components

and several PR components are selected by using the kurtosis criterion. The reconstructed signal is processed by adaptive generalized morphological filtering. The signal after noise reduction is reconstructed by Hilbert envelope analysis. Through the experimental analysis of the inner and outer rings of the rolling bearing

the validity of the method is verified.

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